Design of Fuzzy Feed-forward Decoupling System based on FPGA

Yongqiang Guo, Kang-ling Fang, Hongjun Zhou
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引用次数: 2

Abstract

Coupling is a common phenomenon in process control system, which will decrease the performance of control systems. And what's worse, if the coupling is serious, the system can not work[1]. Therefore, it is significant to research decoupling in the fields of control theory and project practice. Nowadays, decoupling is always implemented by software. However, this method canpsilat satisfy the controlled plant for high speed because of bad real-time effect. Conversely, adopting the hardware decoupling could control the objects timely. There are many ways to realize decoupling by hardware, FPGA is an ideal method. FPGA is a kind of field programmable logical component, which adopts the EDA technology and uses hardware describing language as an expression of logic. It has many traits, such as shorter developing periods, higher speed, upgradeable online, and is suitable for teamwork. A kind of fuzzy feed-forward decoupling algorithm based on error[2] is applied in this paper. On one hand, with adopting fuzzy control, the algorithm does not rely on a mathematic model, and is able close to non-linearity. On the other hand, the speed of algorithm based on error is faster than the decoupling arithmetic based on output.Based on the analyses of a lot of coupling phenomenons, a kind of fuzzy feed-forward decoupling controller based on FPGA is designed in this paper. As a carrier with FPGA, the controller has smaller size, higher reliability, lower consumption and so on. With adopting the method of converting software idea to hardware circuit, the controller could improve the response speed. This paper chooses different plants as researching objects in the course of simulation and practice. According to the experimental results, the decoupling effect of the controller is obvious, which provides a feasible way for the development of the decoupling technology.
基于FPGA的模糊前馈解耦系统设计
耦合是过程控制系统中常见的一种现象,它会降低控制系统的性能。更糟糕的是,如果耦合严重,系统将无法工作[1]。因此,对解耦问题的研究在控制理论和工程实践中都具有重要的意义。目前,解耦通常是通过软件实现的。但该方法实时性差,不能满足被控对象的高速要求。相反,采用硬件解耦可以及时控制对象。通过硬件实现解耦的方法有很多,FPGA是一种理想的方法。FPGA是一种现场可编程逻辑器件,它采用EDA技术,使用硬件描述语言作为逻辑的表达。它具有开发周期短、速度快、可在线升级、适合团队协作等特点。本文采用了一种基于误差的模糊前馈解耦算法[2]。一方面,由于采用模糊控制,该算法不依赖于数学模型,能够接近非线性;另一方面,基于误差的解耦算法比基于输出的解耦算法速度更快。本文在分析了多种耦合现象的基础上,设计了一种基于FPGA的模糊前馈解耦控制器。该控制器作为FPGA的载体,具有体积小、可靠性高、功耗低等优点。采用将软件思想转化为硬件电路的方法,提高了响应速度。本文在模拟和实践过程中选择了不同的植物作为研究对象。实验结果表明,该控制器的解耦效果明显,为解耦技术的发展提供了可行的途径。
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